/Super-Store-Sales-Analysis

Primary LanguageJupyter Notebook

Super Store Sales Analysis

Retail dataset of a global superstore for 4 years.

Variables:

  • Row ID
  • Order ID
  • Order Date
  • Ship Date
  • Ship Mode
  • Customer ID
  • Customer Name
  • Segment
  • Country
  • City
  • State
  • Postal Code
  • Region
  • Product ID
  • Category
  • Sub-Category
  • Product Name
  • Sales

Tools Used:

  • Python (Pandas, Numpy, Matplotlib, Seaborn)
  • Google Data Studio (For Dashboard and Visualization)

Methodologies:

  • Data Preprocessing
  • Data Cleaning
  • Data Visualization
  • Data Exploration (EDA)
Google Data Studio Dashboard Link: https://datastudio.google.com/s/vraLEn0WkZ4